Distributed Utility-Based Rate Adaptation Protocols for Prioritized, Quasi-Elastic Flows

This paper considers rate adaptation for streaming multimedia data in a wireless sensor network (WSN) consisting of multiple missions, where each mission subscribes to data streams from multiple sensors, and each sensor's data is utilized by multiple heterogenous missions. We specifically consi...

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Main Authors: ESWARAN, Sharanya, JOHNSON, Matthew P., MISRA, Archan, LA PORTA, Thomas
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Language:English
Published: Institutional Knowledge at Singapore Management University 2009
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Online Access:https://ink.library.smu.edu.sg/sis_research/655
https://ink.library.smu.edu.sg/context/sis_research/article/1654/viewcontent/DistributedUtilityRateAdaptation_2009.pdf
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spelling sg-smu-ink.sis_research-16542017-11-02T01:34:01Z Distributed Utility-Based Rate Adaptation Protocols for Prioritized, Quasi-Elastic Flows ESWARAN, Sharanya JOHNSON, Matthew P. MISRA, Archan LA PORTA, Thomas This paper considers rate adaptation for streaming multimedia data in a wireless sensor network (WSN) consisting of multiple missions, where each mission subscribes to data streams from multiple sensors, and each sensor's data is utilized by multiple heterogenous missions. We specifically consider the application of the distributed network utility maximization (NUM) framework to a previously unconsidered scenario where the different missions have different priorities, as well as minimum utility demands. When all the utility demands are feasible, we first show that the addition of a penalty for failing to reach the minimum utility demand to the base NUM protocol leads to maximization of the global utility. The paper, however, principally focuses on those situations where the minimum demands cannot all be satisfied due to resource constraints. To address such practical scenarios, we present and evaluate a) a family of modified NUM-based protocols to determine the optimal satisfied set, when the missions have unique priority order, and b) heuristics for applying NUM, when multiple missions have the same priority. 2009-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/655 info:doi/10.1145/1558590.1558592 https://ink.library.smu.edu.sg/context/sis_research/article/1654/viewcontent/DistributedUtilityRateAdaptation_2009.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Software Engineering
spellingShingle Software Engineering
ESWARAN, Sharanya
JOHNSON, Matthew P.
MISRA, Archan
LA PORTA, Thomas
Distributed Utility-Based Rate Adaptation Protocols for Prioritized, Quasi-Elastic Flows
description This paper considers rate adaptation for streaming multimedia data in a wireless sensor network (WSN) consisting of multiple missions, where each mission subscribes to data streams from multiple sensors, and each sensor's data is utilized by multiple heterogenous missions. We specifically consider the application of the distributed network utility maximization (NUM) framework to a previously unconsidered scenario where the different missions have different priorities, as well as minimum utility demands. When all the utility demands are feasible, we first show that the addition of a penalty for failing to reach the minimum utility demand to the base NUM protocol leads to maximization of the global utility. The paper, however, principally focuses on those situations where the minimum demands cannot all be satisfied due to resource constraints. To address such practical scenarios, we present and evaluate a) a family of modified NUM-based protocols to determine the optimal satisfied set, when the missions have unique priority order, and b) heuristics for applying NUM, when multiple missions have the same priority.
format text
author ESWARAN, Sharanya
JOHNSON, Matthew P.
MISRA, Archan
LA PORTA, Thomas
author_facet ESWARAN, Sharanya
JOHNSON, Matthew P.
MISRA, Archan
LA PORTA, Thomas
author_sort ESWARAN, Sharanya
title Distributed Utility-Based Rate Adaptation Protocols for Prioritized, Quasi-Elastic Flows
title_short Distributed Utility-Based Rate Adaptation Protocols for Prioritized, Quasi-Elastic Flows
title_full Distributed Utility-Based Rate Adaptation Protocols for Prioritized, Quasi-Elastic Flows
title_fullStr Distributed Utility-Based Rate Adaptation Protocols for Prioritized, Quasi-Elastic Flows
title_full_unstemmed Distributed Utility-Based Rate Adaptation Protocols for Prioritized, Quasi-Elastic Flows
title_sort distributed utility-based rate adaptation protocols for prioritized, quasi-elastic flows
publisher Institutional Knowledge at Singapore Management University
publishDate 2009
url https://ink.library.smu.edu.sg/sis_research/655
https://ink.library.smu.edu.sg/context/sis_research/article/1654/viewcontent/DistributedUtilityRateAdaptation_2009.pdf
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